Instructions to use ktrapeznikov/biobert_v1.1_pubmed_squad_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ktrapeznikov/biobert_v1.1_pubmed_squad_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ktrapeznikov/biobert_v1.1_pubmed_squad_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ktrapeznikov/biobert_v1.1_pubmed_squad_v2") model = AutoModelForQuestionAnswering.from_pretrained("ktrapeznikov/biobert_v1.1_pubmed_squad_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update eval.csv
Browse files
eval.csv
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,val
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exact,75.97068980038743
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f1,79.37043950121722
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total,11873.0
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HasAns_exact,74.13967611336032
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HasAns_f1,80.94892513460755
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HasAns_total,5928.0
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NoAns_exact,77.79646761984861
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NoAns_f1,77.79646761984861
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NoAns_total,5945.0
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best_exact,75.97068980038743
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best_exact_thresh,0.0
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best_f1,79.37043950121729
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best_f1_thresh,0.0
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